Aims and scope

Machine Translation publishes original research papers on all aspects of MT, including (but not restricted to):

- Statistical MT

- Neural MT

- Example-Based MT

- Rule-Based MT

- Hybrid MT

- Spoken Language Translation

- Discriminative MT

- Evaluation in MT

- MT Applications

- MT Use-Cases

- Computer-Assisted Translation

- Multilingual Corpus Resources

- Tools for translators

- The role of technology in translator training

- MT and language teaching

In addition, Machine Translation welcomes papers with a multilingual aspect from other areas of Computational Linguistics and Language Engineering, including:

- text composition and generation

- information retrieval

- natural language interfaces

- dialogue systems

- message understanding systems

- discourse phenomena

- text mining

- knowledge engineering

- contrastive linguistics

- morphology, syntax, semantics, pragmatics

- computer-aided language instruction and learning

- software localization and internationalization

Machine Translation regularly focuses on issues of special interest, features a regular Book Review section, and welcomes other contributions of interest to the wide readership of the journal.